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Burden of Diabetes Mellitus Estimated with a Longitudinal Population-Based Study Using Administrative Databases

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To assess the epidemiologic and economic burden of diabetes mellitus (DM) from a longitudinal population-based study. Lombardy Region includes 9.9 million individuals. Its DM population was identified through a data warehouse (DENALI), which matches with a probabilistic linkage demographic, clinical and economic data of different Healthcare Administrative databases. All individuals, who, during the year 2000 had an hospital discharge with a IDC-9 CM code 250.XX, and/or two consecutive prescriptions of drugs for diabetes (ATC code A10XXXX) within one year, and/or an exemption from co-payment healthcare costs specific for DM, were selected and followed up to 9 years. We calculated prevalence, mortality and healthcare costs (hospitalizations, drugs and outpatient examinations/visits) from the National Health Service's perspective. We identified 312,223 eligible subjects. The study population (51% male) had a mean age of 66 (from 0.03 to 105.12) years at the index date. Prevalence ranged from 0.4% among subjects aged ≤45 years to 10.1% among those >85 years old. Overall 43.4 deaths per 1,000 patients per year were estimated, significantly (p<0.001) higher in men than women. Overall, 3,315€/patient-year were spent on average: hospitalizations were the cost driver (54.2% of total cost). Drugs contributed to 31.5%, outpatient claims represented 14.3% of total costs. Thirty-five percent of hospital costs were attributable to cerebro-/cardiovascular reasons, 6% to other complications of DM, and 4% to DM as a main diagnosis. Cardiovascular drugs contributed to 33.5% of total drug costs, 21.8% was attributable to class A (16.7% to class A10) and 4.3% to class B (2.4% to class B01) drugs. Merging different administrative databases can provide with many data from large populations observed for long time periods. DENALI shows to be an efficient instrument to obtain accurate estimates of burden of diseases such as diabetes mellitus.
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... Moreover, the lack of therapeutical adherence can cause several complications and costly preventable hospitalisations [18,19]. Notwithstanding some differences that can occur between territorial contexts, the Italian literature reports that around 50% of costs of healthcare services are due to hospitalisation episodes, followed by around 35% of costs for pharmacological treatments and the remainder for specialistic services [17,18,20]. This distribution holds when patients receive appropriate treatments and are followed over time, which is not always the case for undocumented migrants. ...
... The use of aggregated data prevented us from drawing causal claims and specific conclusions on the individual care pathways. Examples of in-depth analysis that did not have these limitations can be found in two previous Italian works that quantified the economic burden of diabetes [20,40] by identifying individuals with diabetes (not considering undocumented migrants) and tracking their health expenditures over time. This approach also enabled the authors to track the healthcare services not strictly related to diabetes, but the comorbidities and complications correlated with it. ...
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Based on the principle of health equity, the Italian National Health Service is known worldwide for being a universalistic system that guarantees healthcare services for all its population, among which there are undocumented migrants. A commitment for their health needs is further motivated by their lower utilisation rates of healthcare services, which becomes even more crucial when considering chronic conditions such as diabetes that require adherence and continuity of care. However, the need for more official data has resulted in little research documenting these healthcare usage patterns. For this reason, our objective has been to deepen, from the Italian NHS perspective, the quantity, costs, type, preventability and organisation of healthcare services directed to undocumented migrants. We used official healthcare data from the Lombardy Region, which enable the identification of people receiving the STP code (undocumented migrants) and of people with foreign citizenship (documented migrants). After quantifying the average annual amount and expenditure for healthcare services grouped by Italian citizens, documented migrants and undocumented migrants for all clinical conditions (quantity and costs), we performed three primary investigations where we enlightened differences between the three mentioned groups focusing on the diagnosis of diabetes: (i) mapping the types of healthcare services used and their characteristics (type); (ii) quantifying the impact of preventable hospital admissions (preventability); (iii) examining the healthcare patterns linking pharmaceutical prescriptions with hospital accesses (organisation). Our results reveal significant differences among the three groups, such as more urgent hospital admissions, more preventable complications, and a higher recurrence in terms of access and costs to hospital services rather than pharmaceutical prescriptions for undocumented migrants. These findings can represent the leverage to raise awareness toward the emerging challenges of the migrant health burden.
... Due diversi studi condotti in Italia [25,26] hanno calcolato che le ospedalizzazioni (attribuibili per più di 1/3 a cause cardio-o cerebro-vascolari [25]) sono il principale driver di costo per la gestione del diabete, rappresentando circa il 50% dei costi diretti, mentre la spesa per farmaci ammonta a circa il 30% del totale. ...
... Due diversi studi condotti in Italia [25,26] hanno calcolato che le ospedalizzazioni (attribuibili per più di 1/3 a cause cardio-o cerebro-vascolari [25]) sono il principale driver di costo per la gestione del diabete, rappresentando circa il 50% dei costi diretti, mentre la spesa per farmaci ammonta a circa il 30% del totale. ...
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Over the past 20 years, the prevalence of diabetes in Italy has been growing, up to the current estimated proportion of about 8.5%, which accounts also for undiagnosed patients. As most of these subjects are >65 years of age, the probability of having comorbidities is high. In addition, diabetes itself exposes patients to a wide spectrum of complications, that cover several therapeutic areas. This is why the optimal management of diabetes necessarily involves a multidisciplinary team. Several models of integrated care of chronic diseases may be set: for instance, the role assigned to GPs and specialists may differ among models. Indeed, a disequilibrium between GPs and specialists is deemed to be the main cause of the low patients’ participation in Progetto Cronicità (chronic diseases project), which started in Lombardia (a Northern region in Italy) in 2018. A help to understand how to build a proper integrated care model in diabetes comes from the experience of the Authors, that describe in detail their experience in IRCCS MultiMedica (Sesto San Giovanni, MI, Italy). This Supplement ends with a review of the evidence found in literature about the advantages of a multidisciplinary management of diabetes in terms of outcomes, costs, and patients’ satisfaction.
... Diabetes mellitus (DM) is a metabolic disease characterized by hyperglycemia, which is a serious threat to human health [1]. The incidence of diabetes has been on the rise, with the global incidence of 6.4% in 2010 and projected to rise to 7.7% by 2030 [2]. And in China, the incidence of DM had increased to 11.6% by 2010 [3]. ...
... Studies have confirmed that persistent hyperglycemia leads to abnormal biochemical indexes such as increased oxidative load in patients with DM, which eventually evolves into liver damage [5]. According to Scalone et al., DM costs an average of 3,315 euros per case per year, with 31.5% of the total drug cost [2]. Sulfonylurea drugs cause hypoglycemia, and a few patients will develop rashes and edema [6]. ...
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This study was aimed at examining the effect and underlying mechanisms of bilobalide (BB) on hepatic injury in streptozotocin- (STZ-) induced diabetes mellitus (DM) in immature rats. Immature rats (one day old) were randomly divided into five groups: group I, control nondiabetic rats; group II, STZ-induced, untreated diabetic rats; groups III/IV/V, STZ-induced and BB-treated diabetic rats, which were intraperitoneally injected with BB (2.5 mg/kg, 5 mg/kg, or 10 mg/kg) after 3 days followed by STZ treatment. We observed that BB improved the histopathological changes and maintained normal glucose metabolism, blood lipid, and liver function indicators, such as fasting blood glucose, obesity index, HbA1c, HOMA-IR, fast serum insulin, adiponectin, total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), aspartate transaminase (AST), and alanine transaminase (ALT) in STZ-induced DM in immature rats by a biochemical analyzer or ELISA. Meanwhile, Western blot analysis showed that in STZ-induced DM immature rats, BB decreased the expression of apoptosis-related proteins Bax, cleaved caspase-3, and cleaved caspase-9 while enhancing the Bcl-2 expression; BB downregulated the expression of ACC related to fat anabolism, while upregulating the expression of CPT-1 related to fat catabolism. Strikingly, treatment with BB significantly increased the expression of AMPKα1 as well as inhibited HMGB1, TLR4, and p-P65 expression in hepatic tissues of immature DM rats. AMPK inhibitor (compound C, CC) cotreated with BB undermined the protective effect of BB on the liver injury. The results of the present study suggested BB may have a significant role in alleviating liver damage in the STZ-induced immature DM rats.
... Inoltre, l'analisi delle singole voci di spesa ha evidenziato che il principale driver dei costi per questa categoria di pazienti è rappresentato dalle ospedalizzazioni che costituiscono oltre l'86% della spesa complessiva. Questo dato è in linea con tutti gli studi che hanno affrontato il tema dei costi del diabete in diversi setting e impiegando differenti metodologie e fonti di dati (13)(14)(15)(16)(17)(18)(19)(20)(21). ...
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Objective: To estimate the burden of disease and to describe healthcare pathways and costs of type-2diabetes (DMT2) patients at high cardiovascular risk (HRCV). Methods: A real-world analysis was performed by using a subset of the AR-CO database, containing administrative health data of >4.3 million of inhabitants. A cohort of adult patients with DMT2 and HRCV was selected in 2013, and followed for 1 year. Through this period, information on antidiabetic and cardiovascular therapies, other co-treatments, hospitalisations, and outpatient services, was collected and analysed. The costs associated with each variable were assessed to estimate the integrated health care expenditure. Results: Overall, 7,167 patients with DMT2 and HRCV were identified, corresponding to 3.1% of all diabetic patients and 0.2% of adult population. During the 1-year follow-up, 90.1% of the cohort received at least a prescription of an antidiabetic drug, 98.0% of a cardiovascular medication and 95.9% used at least an outpatient service. 44.5% had an admission during the follow-up period, especially for cardiovascular events. The integrated cost analysis showed that the overall average cost for each subject was € 13,567. Hospitalisations generated 86.8% of this expenditure, followed by drugs (7.7%) and by outpatient services (5.5%). Conclusions: Although patients with DMT2 and HRCV represent a small percentage of the overall population with diabetes, they generate very high costs for National Healthcare System. These costs are mainly due to the hospitalisations, especially for cardiovascular events. New therapeutic strategies involving these patients should allow reduction of hospital admission, resulting in savings for National Healthcare System.
... The economic impact of diabetes is primarily due to the cost and duration of treatment and to secondary complications of diabetes, such as renal disease and cardiovascular disease, with their associated costs. Two different studies conducted in Italy [10,11] have calculated that hospitalizations (more than a third attributable to cardio-or cerebrovascular causes) are the main cost driver for the management of diabetes, representing approximately 50% of direct costs, while expenditure on drugs amounts to approximately 30%. ...
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BACKGROUND: Cardiovascular diseases represent the main cause of mortality and morbidity in type 2 diabetes mellitus (T2DM) patients. Empagliflozin is used as a treatment for T2DM because of its association with reduced risk of hospitalization for heart failure (hHF). Recently oral semaglutide, in association with metformin, has shown better results. This study analyzes the cost-effectiveness of empagliflozin versus oral semaglutide, in addition to metformin, in patients with T2DM who are inadequately controlled on metformin alone in Italy. METHODS: This analysis was conducted from the Italian National Health Service (SSN) perspective using the IQVIA Core Diabetes Model. For the base case analysis, a 50-year time horizon was chosen to capture the complications, their associated costs, and the final impact on life-years (LYs) and quality-adjusted life-years (QALYs) gained. Cohort baseline characteristics and efficacy data, were mainly sourced from the PIONEER 2 study. Health-state utilities and event disutilities were based on published sources. Drug acquisition and administration costs and patient management inputs were sourced from Italian-specific data. A sensitivity analysis and a range of scenario analyses were carried out. RESULTS: In the base case analysis treatment cost of empagliflozin plus metformin were significantly lower compared to oral semaglutide plus metformin both including and excluding the effect of empagliflozin on hHF (€-13.371/€-13.580; LYs -0.004/0.109 and QALYs -0.037/0.038). The sensitivity analysis confirmed the robustness of the model with empagliflozin plus metformin that was dominant in 63% and in 42% of simulations considering and non-considering the treatment effect on hHF, respectively. CONCLUSIONS: Empagliflozin 25 mg plus metformin is a cost-effective option versus oral semaglutide 14 mg plus metformin for patients with T2DM uncontrolled on metformin alone in Italy
... Nel 2021 su scala mondiale la patologia diabetica ha determinato 6,7 milioni di decessi, mentre la spesa sanitaria globale per il diabete si attesta intorno ai 966 miliardi di dollari USA (3) . In Italia si stima che ogni paziente generi un impatto di spesa per il SSN di 3500 euro/anno per costi diretti per un totale di circa 14 miliardi/anno (4) . A questa spesa vanno aggiunti i costi indiretti (generati da assenze dal lavoro per visite e malattia sia dei pazienti che di eventuali caregiver) stimati essere di entità almeno pari ai costi diretti (5) . ...
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The 2017-2019 National Vaccine Prevention Plan has updated the vaccination offer of the S.S.N./S.S.R. for those affected by certain diseases as well as defining the vaccination schedule for the general population. As we know, vaccines are among the interventions with the lowest cost and the best results that can be implemented to improve personal and community health. Chronic diseases, such as diabetes, are associated with an increased incidence of many infections and a greater severity and/or frequency of complications related to these diseases. The recent pandemic has highlighted how vaccination coverage can prevent serious complications in people with chronic diseases and comorbidities. This important preventive shield was partly undermined by the reduction in vaccination coverage due to a rampant phenomenon called “vaccine hesitancy”, i.e. a delay in joining or a r efusal of vaccination. This phenomenon is largely caused by low health literacy, disinformation and / or conspiracy campaigns that suggest that vaccination is a medical practice of unproven scientific safety and with obscure purposes. AMD launched, 3 years after the previous survey, a second survey to understand if Italian diabetologists had changed their attitudes towards vaccinations. The results clarify how, even if vaccinations are not the “core business” of our work, we are on the whole very favourable to vaccinations but with a strong demand for training, improvement of work organization, and support in order to better help our patients to join the PNPV. KEY WORDS vaccines; diabetes mellitus; prevention.
... countries account for 30-50% of the total direct medical expenditures in the USA, Italy and Spain. [12][13][14] Chan et al. 15,16 and the International Diabetes Foundation (IDF) 4 recommend the use of routinely collected individual hospitalization and mortality data to study the relationships between risk factors, caring for patients and clinical outcomes. ...
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Background This study explores sociodemographic and health factors associated with hospitalizing diabetes mellitus (DM) patients and estimates the number of future hospitalizations for DM in Ghana. Methods We conducted a secondary analysis using nationally representative patient hospitalization data provided by the Ghana Health Service and projected population counts from the Ghana Statistical Service. Data were stratified by year, age, sex and region. We employed Poisson regression to determine associations between sociodemographic and health factors and hospitalization rates of DM patients. Using projected population counts, the number of DM-related hospitalizations for 2018 through 2032 were predicted. We analysed 39 846 DM records from nearly three million hospitalizations over a 6-y period (2012–2017). Results Most hospitalized DM patients were elderly, female and from the Eastern Region. The hospitalization rate for DM was higher among patients ages 75–79 y (rate ratio [RR] 23.7 [95% confidence interval {CI} 18.6 to 30.3]) compared with those ages 25–29 y, females compared with males (RR 1.9 [95% CI 1.4 to 2.5]) and the Eastern Region compared with the Greater Accra Region (RR 1.9 [95% CI 1.7 to 2.2]). The predicted number of DM hospitalizations in 2022 was 11 202, in 2027 it was 12 414 and in 2032 it was 13 651. Conclusions Females and older patients are more at risk to be hospitalized, therefore these groups need special surveillance with targeted public health education aimed at behavioural changes.
... T1DM and T2DM are polygenic diseases, meaning that they are caused by a combination of genes. Single gene disorders leading to beta cell or other defects are rare types of DM (about 1% of cases) (18).T1DM has a well-established genetic basis, with more than 60 known genes accounting for 80% of its heritability, the DQB1 gene, which encodes the beta chain In T2DM,Having a diabetic parent raises the risk of developing diabetes by 30-40 %, More than 200 genomic regions have been implicated in the predisposition to T2DM in GWAS studies (22,23). The interplay between insulin sensitivity, appetite control, adipose storage, and beta cell failure is controlled by genetic and environmental factors in T2DM.28 Genes work byregulating a variety of aspects,such as: the insulinmediatedglucose uptake in skeletal muscle which is regulated by TBC1D4 gene, the ability to generate new adipocytesand the regulation of gene expression in these cells such asPPARG, IRS1, KLF14 genes, lipoprotein lipas-mediated lipolysis (24). ...
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In general, infectious diseases are more prevalent and/or severe in diabetic mellitus patients, Increased morbidity is possible. Immune dysfunction is preferred in a hyperglycemic environment (such as: damage to neutrophil function, depression of the antioxidant system, and humoral immunity), micro-and macroangiopathies, neuropathy, decline in urine antibacterial activity, urinary dysmotility and gastrointestinal, and a higher number of medical interruptions, all of which lead to a higher incidence of infections in diabetic patients.Both systems and organs are affected by the infections. Some of these concerns, such as: foot infections, rhinocerebralmucormycosis, malignant external otitis and gangrenous cholecystitis, are more common with diabetics, In addition to the elevated morbidity, infectious mechanisms can be the primary sign of diabetes mellitus (DM)/or the triggers for diseaserelated complications including: diabetic ketoacidosis and hypoglycemia, to avoid hospitalizations, deaths, and treatment costs, influenza vaccines and anti pneumococcal are recommended.
... We included adult patients aged ≥20 years and who had claim records containing the diagnostic code for diabetes in at least two outpatient visits or one hospitalization between January 1, 2017, and December 31, 2017. Based on the literature review [13,14], the diagnostic codes for diabetes were identified as E10 (type1 diabetes mellitus), E11 (type2 diabetes mellitus), E12 (malnutrition-related diabetes mellitus), E13 (other specified diabetes mellitus), and E14 (unspecified diabetes mellitus) as listed in the International Classification of Diseases-10th Revision (ICD-10 codes). ...
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Background: Diabetes leads to severe complications and imposes health and financial burdens on the society. However, currently existing domestic public health studies of diabetes in South Korea mainly focus on prevalence, and data on the nationwide burden of diabetes in South Korea are lacking. The study aimed to estimate the prevalence and economic burden of diabetes imposed on the South Korean society. Methods: A prevalence-based cost-of-illness study was conducted using the Korean national claims database. Adult diabetic patients were defined as those aged ≥20 years with claim records containing diagnostic codes for diabetes (E10-E14) during at least two outpatient visits or one hospitalization. Direct costs included medical costs for the diagnosis and treatment of diabetes and transportation costs. Indirect costs included productivity loss costs due to morbidity and premature death and caregivers' costs. Subgroup analyses were conducted according to the type of diabetes, age (< 65 vs. ≥65), diabetes medication, experience of hospitalization, and presence of diabetic complications or related comorbidities. Results: A total of 4,472,133 patients were diagnosed with diabetes in Korea in 2017. The average annual prevalence of diabetes was estimated at 10.7%. The diabetes-related economic burden was USD 18,293 million, with an average per capita cost of USD 4090 in 2019. Medical costs accounted for the biggest portion of the total cost (69.5%), followed by productivity loss costs (17.9%), caregivers' costs (10.2%), and transportation costs (2.4%). According to subgroup analyses, type 2 diabetes, presence of diabetic complications or related comorbidities, diabetes medication, and hospitalization represented the biggest portion of the economic burden for diabetes. As the number of complications increased from one to three or more, the per capita cost increased from USD 3991 to USD 11,965. In inpatient settings, the per capita cost was ~ 10.8 times higher than that of outpatient settings. Conclusions: South Korea has a slightly high prevalence and economic burden of diabetes. These findings highlight the need for effective strategies to manage diabetic patients and suggest that policy makers allocate more health care resources to diabetes. This is the first study on this topic, conducted using a nationally representative claims database in South Korea.
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