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.

Risk of cardiovascular events after gestational diabetes: a retrospective population study.

AIMS: To investigate whether the risk for post-partum cardiovascular diseases (CVD) is driven by gestational diabetes (GDM), by GDM-related risk factors and/or by pre-gestational (Pre-GD) or post-gestational diabetes (Post-GD). METHODS: Women delivering in Tuscany, Italy in years 2010-2012 (n = 74,720), were identified from certificates of care at delivery and further identified as affected with GDM, Pre-GD or Post-GD through regional administrative databases. Women with GDM, Pre-GD or Post-GD were retrospectively evaluated for risk of post-partum hospitalizations for CVD (myocardial infarction or stroke; n = 728) across years 2013-2021, comparing women with different forms of diabetes to those without diabetes. Risk of CVD was assessed as odds ratio (OR 95% CI), after logistic multivariate models, considering all recorded pre-gestational characteristics as covariates. RESULTS: The adjusted OR (aOR) for post-partum CVD hospitalizations was not significantly related to GDM itself (aOR: 0.85; 0.64-1.12; p = ns), but increased in women with Pre-GD (aOR: 2.02; 1.09-3.71; p = 0.024) and Post-GD, associated or not to prior GDM (aOR; 4.21; 2.45-7.23 and respectively aOR: 3.80; 2.38-6.05; p < 0.0001 for both). In presence of pre-pregnancy maternal obesity (BMI ≥ 30 kg/m2) the aOR of CVD approximatively doubled (aOR: 1.90; 1.51-2.40); p < 0.0001, independently of GDM and of Post-GD. The adjusted risk of CVD was lower among employed women (aOR: 0.83; 0.70-0.99); p = 0.04 and significantly higher in presence of poorer education levels (aOR: 1.32; 1.11-1.57); p < 0.0001. CONCLUSION: In this population the risk of post-partum CVD was driven by Pre- and Post-GD, not by GDM alone. Pre-gestational obesity represented a major independent risk factor for post-partum CVD.

Perspectives on low-value care and barriers to de-implementation among primary care physicians: a multinational survey.

BACKGROUND: Healthcare costs are rising worldwide. At the same time, a considerable proportion of care does not benefit or may even be harmful to patients. We aimed to explore attitudes towards low-value care and identify the most important barriers to the de-implementation of low-value care use in primary care in high-income countries. METHODS: Between May and June 2022, we email surveyed primary care physicians in six high-income countries (Austria, Finland, Greece, Italy, Japan, and Sweden). Physician respondents were eligible if they had worked in primary care during the previous 24 months. The survey included four sections with categorized questions on (1) background information, (2) familiarity with Choosing Wisely recommendations, (3) attitudes towards overdiagnosis and overtreatment, and (4) barriers to de-implementation, as well as a section with open-ended questions on interventions and possible facilitators for de-implementation. We used descriptive statistics to present the results. RESULTS: Of the 16,935 primary care physicians, 1,731 answered (response rate 10.2%), 1,505 had worked in primary care practice in the last 24 months and were included in the analysis. Of the respondents, 53% had read Choosing Wisely recommendations. Of the respondents, 52% perceived overdiagnosis and 50% overtreatment as at least a problem to some extent in their own practice. Corresponding figures were 85% and 81% when they were asked regarding their country's healthcare. Respondents considered patient expectations (85% answered either moderate or major importance), patient's requests for treatments and tests (83%), fear of medical error (81%), workload/lack of time (81%), and fear of underdiagnosis or undertreatment (79%) as the most important barriers for de-implementation. Attitudes and perceptions of barriers differed significantly between countries. CONCLUSIONS: More than 80% of primary care physicians consider overtreatment and overdiagnosis as a problem in their country's healthcare but fewer (around 50%) in their own practice. Lack of time, fear of error, and patient pressures are common barriers to de-implementation in high-income countries and should be acknowledged when planning future healthcare. Due to the wide variety of barriers to de-implementation and differences in their importance in different contexts, understanding local barriers is crucial when planning de-implementation strategies.

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.

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.