Association of multiple-sclerosis-related mortality with COVID-19 and other common infections: a multiple causes of death analysis.

BACKGROUND AND PURPOSE: People with multiple sclerosis (MS) suffer from higher infection-related mortality compared to the general population; however, sparse data are available on the increased risk of death associated with coronavirus disease 2019 (COVID-19) and other common types of infections. METHODS: All mortality records and multiple-cause-of-death data in 2010-2021 of residents in the Veneto region (northeastern Italy) were extracted. Mention of specific infections was compared between death certificates reporting MS or not. Odds ratios (OR) with 95% confidence intervals (95% CI) were estimated by conditional logistic regression matching by age, sex and calendar year. The bimonthly averages of MS-related deaths in 2010-2019 were compared with those registered during the pandemic (2020-2021). RESULTS: Of 580,015 deaths through 2010-2021, MS was mentioned in 850 cases (0.15%), 59.3% women. Influenza and pneumonia were reported in 18.4% of MS-related compared to 11.0% non-MS-related deaths (OR 2.72, 95% CI 2.28-3.25). The odds of mention of urinary tract infections was significantly greater in MS-related deaths of men (OR 8.16, 95% CI 5.23-12.7) than women (OR 3.03, 95% CI 1.82-5.02). Aspiration pneumonia, pressure ulcers/skin infections and sepsis were also significantly associated with MS-related deaths. Reporting of COVID-19 as a cause of death did not significantly differ between deaths with and without mention of MS (approximately 11% of both). However, compared to 2010-2019, peaks in MS-related deaths were observed during the pandemic waves. CONCLUSIONS: Infections continue to play a significant role in MS-related deaths, underlying the need to improve prevention and management strategies.

Outcomes of SARS-CoV-2 infection in cancer versus non-cancer-patients: a population-based study in northeastern Italy.

INTRODUCTION: This study assesses the risk of infection and clinical outcomes in a large consecutive population of cancer and non-cancer patients tested for SARS-CoV-2 status. METHODS: Study patients underwent SARS-CoV-2 molecular-testing between 22 February 2020 and 31 July 2020, and were found infected (CoV2+ve) or uninfected. History of malignancy was obtained from regional population-based cancer registries. Cancer-patients were distinguished by time between cancer diagnosis and SARS-CoV-2 testing (<12/⩾12 months). Comorbidities, hospitalization, and death at 15 September 2020 were retrieved from regional population-based databases. The impact of cancer history on SARS-CoV-2 infection and clinical outcomes was calculated by fitting a multivariable logistic regression model, adjusting for sex, age, and comorbidities. RESULTS: Among 552,362 individuals tested for SARS-CoV-2, 55,206 (10.0%) were cancer-patients and 22,564 (4.1%) tested CoV2+ve. Irrespective of time since cancer diagnosis, SARS-CoV-2 infection was significantly lower among cancer patients (1,787; 3.2%) than non-cancer individuals (20,777; 4.2% - Odds Ratio (OR)=0.60; 0.57-0.63). CoV2+ve cancer-patients were older than non-cancer individuals (median age: 77 versus 57 years; p<0.0001), were more frequently men and with comorbidities. Hospitalizations (39.9% versus 22.5%; OR=1.61; 1.44-1.80) and deaths (24.3% versus 9.7%; OR=1.51; 1.32-1.72) were more frequent in cancer-patients. CoV2+ve cancer-patients were at higher risk of death (lung OR=2.90; 1.58-5.24, blood OR=2.73; 1.88-3.93, breast OR=1.77; 1.32-2.35). CONCLUSIONS: The risks of hospitalization and death are significantly higher in CoV2+ve individuals with past or present cancer (particularly malignancies of the lung, hematologic or breast) than in those with no history of cancer.

[Impact of COVID-19 on the immigrant population in the Veneto Region (Northern Italy), by geographical area of origin]. / Impatto del COVID-19 nella popolazione immigrata in Veneto, per area geografica di provenienza.

OBJECTIVES: to examine the differences in SARS-CoV-2 infection and hospitalization rates among migrant populations in Veneto Region (Northern Italy), according to the geographic area of origin. SETTING AND PARTICIPANTS: all residents in Veneto Region aged <65 years were included in the analyses. All subjects infected by SARS-CoV-2 and hospitalized for COVID-19 were identified by means of the regional biosurveillance system. MAIN OUTCOME MEASURES: age- and gender-specific infection and hospitalization rates were stratified by geographic area of origin and were estimated using the number of incident cases over the resident population in Veneto on 01.01.2021. Incidence rate ratios (IRR) for infection and hospitalization rates were estimated using a Poisson model, adjusted for age and gender, among migrants compared to Italians. RESULTS: compared to Italians, SARS-CoV-2 infection rates were significantly higher among migrants from Central and South America and Central and South Asia, lower among those from North Africa and High-Income Countries (HIC), and were approximately halved for those coming from Other Asian Countries (mainly represented by China). Hospitalization rates were significantly higher for all migrant populations when compared to Italians, with the exception of those coming from HIC. Neither age nor gender seemed to modify the association of the geographic area of origin with SARS-CoV-2 infection and hospitalization rates. IRR for SARS-CoV-2 infection of migrants compared to Italians showed how migrants from Other Asian Countries had the lowest infection rates (-53%), followed by people from HIC (-25%), North Africa (-21%), and Eastern Europe (-10%). Higher infection rates were present for Central and South America and Central and South Asia (+17% and +10, respectively). Hospitalization rates were especially high among migrants from Central and South Asia, Africa, and Central and South America, ranging from 1.84 to 3.14 times those observed for Italians. CONCLUSIONS: a significant heterogeneity in SARS-CoV-2 infection and hospitalization rates of migrant populations from different geographic areas of origin were observed. The significantly lower incidence rate ratio for infections, compared to that observed for hospitalizations, is suggestive of a possible under-diagnosis of SARS-CoV-2 infection among migrant populations. Public health efforts should be targeted at increasing support among migrants to contrast the spread of the pandemic by potentiating vaccination campaigns, contact tracing, and COVID-19 diagnostic tests.

Congestive heart failure and comorbidity as determinants of colorectal cancer perioperative outcomes.

There has been an increase in surgical interventions in frailer elderly with concomitant chronic diseases. The purpose of this paper was to evaluate the impact of aging and comorbidities on outcomes in patients who underwent surgery for the treatment of colorectal cancer (CRC) in Veneto Region (Northeastern Italy). This is a retrospective cohort study in patients ≥ 40 years who underwent elective or urgent CRC surgical resection between January 2013 and December 2015. Independent variables included: age, sex, and comorbidities. We analyzed variables associated with the surgical procedure, such as stoma creation, hospitalization during the year before the index surgery, the surgical approach used, the American Society of Anesthesiologists (ASA) score, and the Charlson Comorbidity Index score. Eight thousand four hundred and forty-seven patients with CRC underwent surgical resection. Patient age affected both pre- and post-resection LOS as well as the overall survival (OS); however, it did not affect the 30-day readmission and reoperation rates. Multivariate analysis showed that age represented a risk factor for longer preoperative and postoperative LOS as well as for 30-day and 365-day mortality, but it was not associated with an increased risk of 30-day reoperation and 30-day readmission. Chronic Heart Failure increased the 30-day mortality risk by four times, the preoperative LOS by 51%, and the postoperative LOS by 33%. Chronic renal failure was associated with a 74% higher 30-day readmission rate. Advanced age and comorbidities require a careful preoperative evaluation and appropriate perioperative management to improve surgical outcomes in older patients undergoing elective or urgent CRC resection.

Decline in Overall Pulmonary Embolism-Related Mortality and Increasing Prevalence of Cancer-Associated Events in the Veneto Region (Italy), 2008-2019.

BACKGROUND: Despite evidence of ongoing epidemiological changes in deaths from venous thromboembolism in high-income countries, little recent information is available on the time trends in mortality related to pulmonary embolism (PE) as underlying or concomitant cause of death in Europe. METHODS: We accessed the regional database of death certificates of Veneto Region (Northern Italy, population 4,900,000) from 2008 to 2019. We analyzed the trends in crude and age-adjusted annual rates of mortality related to PE (reported either as underlying cause or in any position in the death certificate) using Joinpoint regression; in the contribution of PE to mortality (proportionate mortality); and, using logistic regression, in the association between PE and cancer at death. RESULTS: Between 2008 and 2019, the annual age-standardized mortality rate related to PE in Veneto decreased from 20.7 to 12.6 deaths per 100,000 population for PE in any position of the death certificate, and from 4.6 to 2.2 deaths per 100,000 population for PE as underlying cause of death. PE-related proportionate mortality remained up to twice as high in women. The age- and sex-adjusted odds ratio for cancer in deaths with versus without PE constantly increased from 1.01 (95% confidence interval [CI]: 0.88-1.16) in 2008 to 1.58 (95% CI: 1.35-1.83) in 2019. CONCLUSION: The descending trends in PE-related mortality reported for Europe up to 2015 for both sexes continued thereafter in this high-income region of Northern Italy. However, sex differences in proportionate mortality persist. The increasing strength in the association between cancer and PE may indicate a change in risk factor distribution, calling for tailored management practices in this patient group.

SARS-CoV-2 Infection in Cancer Patients: A Population-Based Study.

AIM: In a consecutive series of cancer patients tested for SARS-CoV-2 infection, this retrospective population-based study investigates the risks of viral infection and death. METHODS: Malignancies were distinguished as incident or prevalent (active or inactive). Cancer management and vital status were retrieved from institutional regional databases. Comorbidities were recorded, based on Adjusted Clinical Groups (ACG). Six Resource Utilization Bands (RUBs) were also considered. Independent risk factors for SARS-CoV-2 infection and death were identified using multivariable logistic regression, considering sex, age, comorbidities and RUBs, cancer status (active versus prevalent), primary cancer site, and treatments (chemotherapy and/or radiotherapy). RESULTS: Among 34,929 cancer patients, 1,090 (3.1%) tested positive for SARS-CoV-2 infection (CoV2+ve). The risk of infection was associated with age (OR per 1-year increase=1.012; 95%CI=1.007-1.017), prevalent-inactive disease, hematologic malignancies (OR=1.33; 95%CI=1.03-1.72) and RUB (OR per 1-level increase=1.14; 95%CI=1.05-1.24). Among CoV2+ve cancer patients, the risk of death was doubled for males, and increased with age (OR per 1-year increase=1.07; 95%CI=1.06-1.09) and comorbidities (renal [OR=3.18; 95%CI=1.58-6.49], hematological [OR=3.08; 95%CI=1.49-6.50], respiratory [OR=2.87; 95%CI=1.61-5.14], endocrine [OR=2.09; 95%CI=1.25-3.51]). Lung and blood malignancies raised the mortality risk (OR=3.55; 95%CI=1.56-8.33, and OR=1.81; 95%CI=1.01-3.25 respectively). Incident or prevalent-active disease and recent chemotherapy and radiotherapy (OR=4.34; 95%CI=1.85-10.50) increased the risk of death. CONCLUSION: In a large cohort of cancer patients, the risk of SARS-CoV-2 infection was higher for those with inactive disease than in incident or prevalent-active cases. Among CoV2+ve cancer patients, active malignancies and recent multimodal therapy both significantly raised the risk of death, which increased particularly for lung cancer.

Type 1 diabetes prevalence and incidence rates in the pediatric population of Veneto Region (Italy) in 2015-2020.

The prevalence of Type 1 Diabetes (T1D) in the Veneto Region (Italy) in the 2015-2020 years was 152.5/100,000 subjects and the incidence 19.7/100,000 person-years. Accordingly, Veneto Region can be defined as a high-risk area for pediatric T1D.

Epidemiology and public health response in early phase of COVID-19 pandemic, Veneto Region, Italy, 21 February to 2 April 2020.

BackgroundVeneto was one of the Italian regions hit hardest by the early phase of the coronavirus disease (COVID-19) pandemic.AimThis paper describes the public health response and epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in the Veneto Region from 21 February to 2 April 2020.MethodsInformation on the public health response was collected from regional health authorities' official sources. Epidemiological data were extracted from a web-based regional surveillance system. The epidemic curve was represented by date of testing. Characteristics of hospitalised COVID-19 cases were described and compared to those never admitted to hospital. Age- and sex-stratified case-fatality ratios (CFRs) were calculated.ResultsKey elements of the regional public health response were thorough case-finding and contact tracing, home care for non-severe cases, creation of dedicated COVID-19 healthcare facilities and activation of sub-intensive care units for non-invasive ventilation. As at 2 April 2020, 91,345 individuals were tested for SARS-CoV-2 and 10,457 (11.4%) were positive. Testing and attack rates were 18.6 per 1,000 and 213.2 per 100,000 population, respectively. The epidemic peaked around 20 to 24 March, with case numbers declining thereafter. Hospitalised cases (n = 3,623; 34.6%) were older and more frequently male compared with never-hospitalised cases. The CFR was 5.6% overall, and was higher among males and people > 60 years of age.ConclusionIn the Veneto Region, the strict social distancing measures imposed by the Italian government were supported by thorough case finding and contact tracing, as well as well-defined roles for different levels of care.

Management and 5-year outcome of patients with coronary artery disease in different periods of stent technology.

BACKGROUND: The availability of bare metal stents (BMS) followed by drug-eluting stents of first- (DES1) and second-generation (DES2) progressively increased the rate of the percutaneous revascularizations [percutaneous coronary intervention (PCI)] with unknown impact on the long-term outcome of real-world patients with established coronary artery disease. We sought to investigate treatments applied in patients with coronary artery disease in BMS, DES1 and DES2 eras and their 5-year outcome. METHODS: A total of 3099 consecutive patients with at least one coronary stenosis more than 50% observed in 2002 (BMS era), 2005 (DES1 era) and 2011(DES2 era) were enrolled at 13 hospitals in Veneto region, Italy. RESULTS: Moving from BMS to DES1 and DES2 eras patients became significantly older, had more comorbidities and received more frequently statins, betablockers, renin-angiotensin modulators and antiplatelets (P < 0.0001 for all). The PCI/conservative therapy ratio increased from 1.9 to 2.2 and 2.3, the PCI/coronary artery by-pass surgery ratio from 3.6 to 4.0 and 5.1. The crude 5-year survival was 84.9, 83.4 and 81.4% (P = 0.20) and survival free of myocardial infarction, stroke or further revascularizations was 62.1, 60.2 and 60.1% (P = 0.68), with cardiovascular mortality accounting for 60.9, 55.6 and 43.4% of deaths. At multivariable analysis cardiovascular mortality was significantly lower in patients enrolled in 2011 vs. 2002 (hazard ratio = 0.712, 95% confidence interval 0.508-0.998, P = 0.048). CONCLUSION: From BMS to DES1 and DES2 eras progressive worsening of patients characteristics, improvement of medical treatment standards and increase in PCI/conservative therapy and PCI/coronary artery by-pass surgery ratios were observed. Five-year outcomes remained similar in the three cohorts, but in the DES2 era cardiovascular mortality was reduced.

Multimorbidity and Hospital Admissions in High-Need, High-Cost Elderly Patients.

Objective: The aim was to clarify which pairs or clusters of diseases predict the hospital-related events and death in a population of patients with complex health care needs (PCHCN). Method: Subjects classified in 2012 as PCHCN in a local health unit by ACG® (Adjusted Clinical Groups) System were linked with hospital discharge records in 2013 to identify those who experienced any of a series of hospital admission events and death. Number of comorbidities, comorbidities dyads, and latent classes were used as exposure variable. Regression analyses were applied to examine the associations between dependent and exposure variables. Results: Besides the fact that larger number of chronic conditions is associated with higher odds of hospital admission or death, we showed that certain dyads and classes of diseases have a particularly strong association with these outcomes. Discussion: Unlike morbidity counts, analyzing morbidity clusters and dyads reveals which combinations of morbidities are associated with the highest hospitalization rates or death.

Prevalence of chronic liver disease among young/middle-aged adults in Northern Italy: role of hepatitis B and hepatitis C virus infection by age, sex, ethnicity.

BACKGROUND: Sparse population-based data are available on the prevalence and etiology of chronic liver disease (CLD) in Italy. The study aims to assess the role of hepatitis B virus (HBV) and hepatitis C virus (HCV) infection in CLD according to age, gender and ethnicity. METHODS: Clinically diagnosed CLD in the general population aged 20-59 years in the Veneto Region (North-Eastern Italy) were identified through the Adjusted Clinical Groups System, by record linkage of the archive of subjects enrolled in the Regional Health System with Hospital Discharge Records, Emergency Room visits, Chronic disease registry for copayment exemptions, and the Home care database. Age-standardized prevalence rates (PR) were computed in Italians and immigrants, based on country of citizenship. RESULTS: Overall 22,934 subjects affected by CLD in 2016 were retrieved, 21% related to HBV and 43% to HCV infection. The prevalence of HCV-related CLD was higher in males, peaking at 50-54 years (males = 11/1000; females = 4/1000). The PR of HBV-related CLD was almost negligible in the Italian population (1/1000), and higher among immigrants, especially from East Asia (males = 17/1000; females = 11/1000) and Sub-Saharan Africa (males = 13/1000; females = 10/1000). CONCLUSION: Specific population sub-groups identified by age, gender, and ethnicity, were demonstrated to be at increased risk, and these trends are in line with global epidemiological patterns of viral hepatitis.

Impactibility Model for Population Health Management in High-Cost Elderly Heart Failure Patients: A Capture Method Using the ACG System.

The aim of the present study is to use the ACG (Adjusted Clinical Groups) System to create an impactibility model by identifying homogeneous clinical subgroups of patients with high risk of an adverse health outcome in a population of heart failure patients with complex health care needs (PCHCN). This method will allow policy makers to target and prioritize services for the highest risk PCHCN in the context of limited health care resources, by identifying relatively homogeneous groups of patients with similar comorbidities. Subjects classified in 2012 as PCHCN in a local health unit by the ACG System were linked with hospital discharge records in 2013. The authors applied the Apriori algorithm to identify the most common sets of the most predictive diseases for the following outcomes of interest: at least 1 admission and at least 1 preventable admission in the year. Predictive performance for the former outcome was compared between the impactability model with the available ACG's individual risk score. The Apriori algorithm also was applied to predict the latter outcome as an example of an event that a policy maker would be able to prevent. Evidence showed no statistically significant difference between the 2 methods. The present model also displayed evidence of good calibration. The Apriori algorithm was applied as an impactibility model, built based on the ACG System, that allowed the authors to obtain an "ACG-based group risk score" and use it to identify clinically homogeneous subgroups of PCHCN. This will help policy makers develop "tool kits" for homogeneous groups of patients that improve health outcomes.

Effectiveness of a community care management program for multimorbid elderly patients with heart failure in the Veneto Region.

BACKGROUND: The rapidly growing population of elderly subjects with multimorbidity is at risk of receiving fragmented and uncoordinated care, and have frequent hospitalizations and emergency room (ER) visits. AIMS: The study aims to describe the impact of a care management program (CMP) developed in the Veneto region (Northeastern Italy) for patients affected by chronic heart failure (CHF) and multimorbidity. METHODS: The CMP was provided to 330 patients > 65 years suffering from CHF and multimorbidity. They were compared to a propensity score matched reference group who received usual care. The intervention was provided by care manager nurses and General Practitioners working in the community. The quality of care from the patients' perspective was assessed by means of the Patient Assessment of Chronic Illness Care (PACIC). The effectiveness of the CMP has been evaluated comparing time changes in hospital admissions in the medical area and ER visits between the intervention and the reference group. RESULTS: The median PACIC overall score was 4 out of 5. The intervention group showed a reduction over time by 39% in hospitalization rates and by 33% in ER visits. The recourse to hospital care and ER did not change in the reference group. DISCUSSION: The current results indicate that a CMP can reduce Emergency Room visits and hospital admissions for elderly patients with CHF and multimorbidity. CONCLUSIONS: The CMP by emphasizing prevention, self-management, continuity and coordination of care, is beneficial among older community-dwelling multimorbid persons as compared to usual care.

Multimorbidity patterns in high-need, high-cost elderly patients.

INTRODUCTION: Patients with complex health care needs (PCHCN) are individuals who require numerous, costly care services and have been shown to place a heavy burden on health care resources. It has been argued that an important issue in providing value-based primary care concerns how to identify groups of patients with similar needs (who pose similar challenges) so that care teams and care delivery processes can be tailored to each patient subgroup. Our study aims to describe the most common chronic conditions and their combinations in a cohort of elderly PCHCN. METHODS: We focused on a cohort of PCHCN residing in an area served by a local public health unit (the "Azienda ULSS4-Veneto") and belonging to Resource Utilization Bands 4 and 5 according to the ACG System. For each patient we extracted Expanded Diagnosis Clusters, and combined them with information available from Rx-MGs diagnoses. For the present work we focused on 15 diseases/disorders, analyzing their combinations as dyads and triads. Latent class analysis was used to elucidate the patterns of the morbidities considered in the PCHCN. RESULTS: Five disease clusters were identified: one concerned metabolic-ischemic heart diseases; one was labelled as neurological and mental disorders; one mainly comprised cardiac diseases such as congestive heart failure and atrial fibrillation; one was largely associated with respiratory conditions; and one involved neoplasms. CONCLUSIONS: Our study showed specific common associations between certain chronic diseases, shedding light on the patterns of multimorbidity often seen in PCHCN. Studying these patterns in more depth may help to better organize the intervention needed to deal with these patients.

A case-mix classification system for explaining healthcare costs using administrative data in Italy.

BACKGROUND: The Italian National Health Service (NHS) provides universal coverage to all citizens, granting primary and hospital care with a copayment system for outpatient and drug services. Financing of Local Health Trusts (LHTs) is based on a capitation system adjusted only for age, gender and area of residence. We applied a risk-adjustment system (Johns Hopkins Adjusted Clinical Groups System, ACG® System) in order to explain health care costs using routinely collected administrative data in the Veneto Region (North-eastern Italy). METHODS: All residents in the Veneto Region were included in the study. The ACG system was applied to classify the regional population based on the following information sources for the year 2015: Hospital Discharges, Emergency Room visits, Chronic disease registry for copayment exemptions, ambulatory visits, medications, the Home care database, and drug prescriptions. Simple linear regressions were used to contrast an age-gender model to models incorporating more comprehensive risk measures aimed at predicting health care costs. RESULTS: A simple age-gender model explained only 8% of the variance of 2015 total costs. Adding diagnoses-related variables provided a 23% increase, while pharmacy based variables provided an additional 17% increase in explained variance. The adjusted R-squared of the comprehensive model was 6 times that of the simple age-gender model. CONCLUSIONS: ACG System provides substantial improvement in predicting health care costs when compared to simple age-gender adjustments. Aging itself is not the main determinant of the increase of health care costs, which is better explained by the accumulation of chronic conditions and the resulting multimorbidity.

Intensity of integrated cancer palliative care plans and end-of-life acute medical hospitalisation among cancer patient in Northern Italy.

A high hospital utilisation at the end of life (EOL) is an indicator of suboptimal quality of health care. We evaluated the impact of the intensity of different Integrated Cancer Palliative Care (ICPC) plans on EOL acute medical hospitalisation among cancer decedents. Decedents of cancer aged 18-84 years, who were residents in two Italian regions, were investigated through integrated administrative data. Outcomes considered were prolonged hospital stay for medical reasons, 2+ hospitalisations during the last month of life and hospital death. The ICPC plans instituted 90 to 31 days before death represented the main exposure of interest. Other variables considered were gender, age class at death, marital status, recent hospitalisation and primary cancer site. Among 6,698 patients included in ICPC plans, 44.3% presented at least one critical outcome indicator; among these, 76.5% died in hospital, 60.3% had a prolonged (12+ days) medical hospitalisation, 19.1% had 2+ hospitalisations at the EOL. These outcomes showed a strong dose-response effect with the intensity of the ICPC plans, which is already evident at levels of moderate intensity. A well-ICPC approach can be very effective-beginning at low levels of intensity of care-in reducing the percentage of patients spending many days or dying in hospital.

Ethnic inequalities in acute myocardial infarction hospitalization rates among young and middle-aged adults in Northern Italy: high risk for South Asians.

The knowledge of ethnic-specific health needs is now essential to design effective health services and population-based prevention strategies. However, data on migrant populations living in Southern Europe are limited. The study is designed to investigate ethnic inequalities in hospitalization for acute myocardial infarction (AMI) in the Veneto region (Italy). Hospital admissions for AMI in Veneto for the whole resident population aged 20-59 years during 2008-2013 were studied. Age and gender-specific AMI hospitalization rates for immigrant groups (classified by country of origin according to the United Nations geoscheme) and Italians were calculated. The indirect standardization method was used to estimate standardized hospitalization ratios (SHR) for each immigrant group, with rates of Italian residents as a reference. Overall, 8200 AMI events were retrieved, 648 among immigrants. The highest risk of AMI is seen in South Asians males (SHR 4.2, 95% CI 3.6-4.9) and females (SHR 2.5, 95% CI 1.4-4.5). AMI rates in South Asian males sharply increase in the 30-39 years age class. Other immigrant subgroups (Eastern Europe, North Africa, Sub-Saharan Africa, other Asian countries, Central-South America, high-income countries) displayed age- and gender-adjusted hospitalization rates similar to the native population. Present findings stress the urgent need for implementation of ethnic-specific health policies in Italy. The awareness about the high cardiovascular risk in subjects from South Asia must be increased among general practitioners and immigrant communities.

Diverging patterns of cardiovascular diseases across immigrant groups in Northern Italy.

BACKGROUND: Only fragmentary data are available on the burden of non-communicable diseases among immigrants in Europe, mostly limited to mortality by cause. Aim of the study is to investigate the prevalence of cardiovascular diseases across different immigrant groups in the Veneto Region (North-Eastern Italy). METHODS: The resident population aged 20-59 was classified according to country of citizenship. The Adjusted Clinical Groups System was adopted to identify selected cardiovascular conditions by linkage of Hospital Discharge Records, Emergency Room visits, Chronic disease registry for copayment exemptions, the Home care database, and drugs reimbursed by the Regional Health Service. Age standardized prevalence rates were compared across population groups, and rate ratios (RR) with 95% confidence intervals (CI) were computed taking the Italian population as reference. RESULTS: The prevalence of diabetes was higher across all immigrant groups compared to Italians. Specific risk patterns could be identified associated to different ethnicities: South Asian immigrants were at very high risk of diabetes, dyslipidemia, and ischemic heart disease (males RR 2.3, CI 1.9-2.8; females RR 2.0, CI 1.2-3.5). Immigrants from Africa were affected by high rates of hypertension, cerebrovascular diseases, and heart failure, with a more pronounced unfavorable profile among females (hypertension RR 3.0, CI 2.6-3.3; cerebrovascular diseases RR 1.7, CI 1.1-2.7). CONCLUSIONS: Wide differences in the prevalence of cardiovascular diseases could be detected across immigrant groups. These findings represent a first step towards systematic chronic disease surveillance by ethnicity, a fundamental tool for shaping culturally-tailored prevention strategies.